Frontiers in single cell analysis: multimodal technologies and their clinical perspectives
Julia Källberg1, Wenjin Xiao1, David Van Assche2
1Centre de Recherche des Cordeliers, INSERM, CNRS, Université Paris Cité, Sorbonne Université, USPC, Equipe labellisée Ligue Nationale contre le cancer, Paris, France. valerie.taly@parisdescartes.fr.
Lab on a Chip
|June 15, 2022
Summary
Single cell multimodal analysis offers deeper insights into cellular processes by measuring multiple cell features simultaneously. Microfluidic platforms are key for advancing this technology in biomedical research and clinical applications.
Area of Science:
- Biotechnology
- Molecular Biology
- Genomics
Background:
- Single cell analysis is crucial for understanding cellular heterogeneity and function.
- Current methods are evolving towards multimodal approaches for deeper biological insights.
- Simultaneous measurement of transcription, epigenetics, and protein expression enhances understanding of cellular processes.
Purpose of the Study:
- To provide an overview of recent multimodal microfluidic platforms.
- To highlight the potential of these platforms in biomedical research.
- To focus on the clinical applications of multimodal single cell analysis.
Main Methods:
- Review of current multimodal microfluidic technologies.
- Analysis of simultaneous measurement capabilities (e.g., transcription, epigenetics, protein expression).
- Focus on high-throughput single cell analysis.
Main Results:
- Multimodal analysis provides unprecedented insight into cell fate, heterogeneity, and genotype-phenotype linkages.
- Microfluidics enables high-throughput capabilities essential for advanced single cell studies.
- Emerging platforms show significant potential for biomedical and clinical research.
Conclusions:
- Single cell multimodal analysis is a frontier technology in biological research.
- Microfluidic platforms are pivotal for the advancement and application of multimodal single cell analysis.
- These technologies hold promise for transforming biomedical research and clinical diagnostics.


